论文标题
MARS MARS任务的火星表面温度的昼夜变化：与好奇心和毅力漫游者测量值的比较
Diurnal variation of the surface temperature of Mars with the Emirates Mars Mission: A comparison with Curiosity and Perseverance rover measurements
论文作者
论文摘要
阿联酋航空红外光谱仪（EMIRS）仪器首次在阿联酋飞行器任务（EMM）“希望”上为我们提供了覆盖大部分地球的当地时代的火星温度测量。结果，现在可以将轨道制成的表面温度测量与在同一时期内由流浪者从表面的表面温度测量进行比较。 We use data of diurnal temperature variation from the Rover Environmental Monitoring Station (REMS) suite on board the Mars Science Laboratory (MSL) "Curiosity" rover, and the Mars Environmental Dynamics Analyzer (MEDA) suite on board the Mars 2020 "Perseverance" rover, between June and August 2021 and compare them with EMIRS observations and estimates of the Mars Climate Database (MCD) model.我们表明，尽管在整个任务之间，温度变化的总体趋势均达到了良好的一致性，但与2020年3月相比，夜间的emir测量在夜间较低。与流浪者相比，埃米尔人的空间分辨率较低，因此在这种特定情况下，观察到的区域的平均热惯性较低，主要导致这种差异。我们讨论了这些结果在改善我们对火星气候的理解方面的含义，这将使当地天气预测更好地建模，这对未来的机器人和船员任务很有用。
For the first time, the Emirates Mars Infrared Spectrometer (EMIRS) instrument on board the Emirates Mars Mission (EMM) "Hope", is providing us with the temperature measurements of Mars at all local times covering most of the planet. As a result, it is now possible to compare surface temperature measurements made from orbit with those from the surface by rovers during the same time period. We use data of diurnal temperature variation from the Rover Environmental Monitoring Station (REMS) suite on board the Mars Science Laboratory (MSL) "Curiosity" rover, and the Mars Environmental Dynamics Analyzer (MEDA) suite on board the Mars 2020 "Perseverance" rover, between June and August 2021 and compare them with EMIRS observations and estimates of the Mars Climate Database (MCD) model. We show that although the overall trend of temperature variation is in excellent agreement across missions, EMIRS measurements are systematically lower at night compared to Mars 2020. The lower spatial resolution of EMIRS compared to the rovers and consequently lower average thermal inertia of the observed regions in this particular case primarily contributed to this discrepancy, among other factors. We discuss the implications of these results in improving our understanding of the Martian climate which would lead to better modeling of local weather prediction, useful for future robotic and crewed missions.
